We are seeking a skilled Python Developer with a strong focus on quantitative development to join our team. The ideal candidate will have a solid foundation in software development, experience in quantitative libraries, and a deep understanding of data structures, algorithms, and mathematical fundamentals. This role requires working closely with our quantitative analysts to develop and maintain complex systems.

Key Responsibilities:

Design, develop, and maintain scalable Python applications with a focus on quantitative analysis and financial modeling.
Work closely with quantitative analysts to implement and optimize mathematical models, algorithms, and data analysis tools.
Develop and manage databases using SQL and NoSQL technologies.
Collaborate with team members using Git for version control and Docker for containerization to ensure smooth deployment and scaling of applications.
Apply strong understanding of data structures, algorithms, and mathematical principles to solve complex problems efficiently.

Requirements
Experience: Minimum of 3 years of professional experience in Python development, preferably in a quantitative or financial setting.
Programming Languages: Proficiency in Python
Databases: Strong experience with SQL databases (PostgreSQL, MS SQL) and NoSQL databases (Redis, MongoDB).
ORMs: Familiarity with Python ORMs, particularly SQLAlchemy.
Version Control & DevOps: Experience with Git and Docker for version control, collaboration, and deployment.
Quantitative Libraries: Strong experience with quantitative libraries and methods, including NumPy, Pandas, and Numba.
Mathematical Skills: Solid foundation in data structures, algorithms, and mathematical principles.
Communication Skills: Strong problem-solving abilities and ability to communicate complex concepts clearly.
Preferred Qualifications:
Experience in the financial industry or with financial modeling.
Understanding of multi-threading and parallel processing in Python.